Generating SQL Queries from Spoken Natural Language
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Date
2024-06
Journal Title
Journal ISSN
Volume Title
Publisher
University of Mohamed Boudiaf, M’sila
Abstract
In today's digital era, organizations grapple with the challenge of managing vast datasets,
necessitating sophisticated tools for data analysis. While Structured Query Language (SQL) serves
as a robust choice for database interaction, its complexity poses barriers, especially for nontechnical users. This project introduces SQUIRE, a model designed to bridge this gap by offering
an intuitive Natural Language Database Interface (NLDBI) for SQL relational databases. SQUIRE
aims to democratize data access, empowering users to generate diverse SQL queries without
extensive SQL knowledge, thereby enhancing flexibility in data retrieval.
Description
Keywords
SQL, Data Base, SQUIRE, NLDBI, Python